Lead ML Dev for NASA Prototype

The immediate priority is robust data processing that feeds into a machine-learning model we are developing. You would take ownership of the model work: refining the data pipeline, experimenting with architectures, training, validating, and then wrapping the results back into our existing codebase. Expect to collaborate in GitHub, share quick updates on ClickUp, and iterate fast—this is a hackathon environment.

Deliverables I would be counting on:
* (Important) A small prototype or demo (even minimal) so that the newer team members can understand the initial concept
* Support with CSV file handling
• A clean, reproducible data-processing script or module
• A trained ML model with clear evaluation metrics
• Integration hooks (or a lightweight API) so the front-end can call your model
• One-page technical note so judges—and future contributors—can follow your logic

You will have the full support of the team (with knowledge in the mentioned languages and machine learning), as well as my own input whenever needed. Please don’t hesitate to ask if you’d like any help.

I can’t promise money for this sprint, but your name will be listed as a core team member on the official submission and any follow-up publicity. If you’d like a shot at getting a NASA finalist badge on your résumé and you enjoy rapid prototyping, let’s talk today..